American Sociological Association

Comment: Bayes, Model Uncertainty, and Learning from Data

The problem of model uncertainty is a fundamental applied challenge in quantitative sociology. The authors’ language of false positives is reminiscent of Bonferroni adjustments and the frequentist analysis of multiple independent comparisons, but the distinct problem of model uncertainty has been fully formalized from a Bayesian perspective.

Authors

Bruce Western

Volume

48

Issue

1

Starting Page

39

Ending Page

43